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Deep Learning Engineer

On-site in Barcelona·Full-time·Added today

Still open when we checked on 9 Oct

Theker

14 open roles

Overview

Job details

  • Permanent contract

    Full-time.

  • Relocation help

    Indicative — the ad doesn’t promise sponsorship.

Requirements

  • Work on-site in Barcelona

    No relocation package mentioned.

  • University degree

    “Bachelor's or Master's degree in AI, Deep Learning, Computer Science, Data Science, or related field.” — per the ad.

Skills

Nice to have

Requirements

What we're looking for

  • Bachelor's or Master's degree in AI, Deep Learning, Computer Science, Data Science, or related field.

  • Strong knowledge of Deep Learning techniques (CNNs, transformers, reinforcement learning, etc.).

  • Proficiency with frameworks like PyTorch or TensorFlow.

  • Strong problem-solving mindset and willingness to push the boundaries of robotics AI.

  • Collaborative and open communicator.

  • Willingness to reside in or relocate to Barcelona.

Nice to have

  • Nice to have: experience with computer vision (object detection, segmentation), NLP, Python/C++ for implementation, or participation in projects (competitions, research, personal innovations).

Pay & benefits

What you'll get

What We Offer

  • Being part of a fast-growing robotics and AI company with huge ambition, where your career can accelerate alongside us.

  • The chance to make a real impact from day one, building robotics solutions with global reach.

  • A focused, talent-dense team of passionate innovators who live and breathe robotics.

  • An environment where new ideas are encouraged, and your contributions shape both the product and the company.

  • 100% on-site work in Barcelona.

The role

Your role:

We're looking for a Deep Learning Engineer to design, train, and deploy advanced AI models that power our robots. You'll work on computer vision and natural language processing, enabling intelligent perception, decision-making, and real-world autonomy.

What you'll do

Main Responsibilities:

  • Develop and implement Deep Learning models for robotic applications (vision, text, decision-making).

  • Train, test, and optimize models to achieve high accuracy and real-time performance.

  • Collaborate with robotics engineers to integrate AI models into robotic systems.

  • Stay up to date with state-of-the-art techniques and apply them to real-world challenges.

  • Contribute to the design and architecture of AI-driven systems that enhance robot autonomy.

You'll thrive at THEKER if

  • You're excited by a fast-paced and ambitious environment. The opportunity ahead of us is enormous, and we're going all in to capture it.

  • You want responsibility early on, delivering at world-class standards for leading clients.

  • You enjoy experimenting, iterating quickly, and embracing change as part of the learning process.

  • You're open to feedback, collaborative, and enjoy making decisions as a team

Hiring process

  1. Intro call with our Talent Team, 30 minutes.

  2. Technical challenge (take-home).

  3. Conversation with our technical team.

  4. Meet the rest of the team and founders and work together on a live challenge at our offices.

These steps can be completed in 7 days.

Final Observation

About Theker

Industry
Robotics
Website
theker.ai

In their own words

About the company & team

At THEKER, we're taking on one of the greatest challenges of the 21st century: redefining how physical work gets done in the world.

We are a robotics and AI company building intelligent, adaptable systems that solve problems traditional automation never could. We recently closed the largest robotics Series A in Europe's history, and we're looking for the top 0.01% of talent to take on that mission with us, and build the biggest company in the world.

By joining us, you will have the chance to do the most meaningful work of your life, setting a new standard for industrial automation and driving breakthroughs with global reach, while being surrounded by a focused, talent-dense team that shares this ambition and is here to win.

Additional information

We're committed to equality, diversity, and inclusion. We welcome all applications regardless of background, age, gender, disability, sexual orientation, or beliefs.

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